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ORCID6th MLG@ICML 2008: Helsinki, Finland
- Proceedings of the 6th Workshop on Mining and Learning with Graphs, MLG@ICML 2008, Helsinki, Finland, July 4-5, 2008. 2008
Session 1
- Fan Chung:
Invited speaker: Four graph partitioning algorithms. MLG@ICML 2008 - Karsten M. Borgwardt, Xifeng Yan, Marisa Thoma, Hong Cheng, Arthur Gretton, Le Song, Alex Smola, Jiawei Han, Philip S. Yu, Hans-Peter Kriegel:
Combining near-optimal feature selection with gSpan. - Christian Hübler, Karsten M. Borgwardt, Hans-Peter Kriegel, Zoubin Ghahramani:
Representative Subgraph Sampling using Markov Chain Monte Carlo Methods. - Jake M. Hofman, Chris H. Wiggins:
Inferring the structure and scale of modular networks. - Toon Calders, Jan Ramon, Dries Van Dyck:
Min, Max and PTIME Anti-Monotonic Overlap Graph Measures.
Session 2
- Mohammad Mahdian:
Invited speaker: Influence and Correlation in Social Networks. MLG@ICML 2008 - Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont:
Classification in Graphs using Discriminative Random Walks. - Kristiaan Pelckmans, Johan A. K. Suykens:
An Online Algorithm for Learning a Labeling of a Graph. - Dell Zhang, Robert Mao:
A New Kernel for Classification of Networked Entities. - Hendrik Blockeel, Siegfried Nijssen:
Induction of Node Label Controlled Graph Grammar Rules.
Session 3
- Thorsten Joachims:
Invited speaker: Structured Output Prediction with Structural SVMs. MLG@ICML 2008 - Huizhen Yu, Dimitri P. Bertsekas, Juho Rousu:
Efficient Discriminative Training Method for Structured Predictions. - Aram Galstyan, Paul R. Cohen:
Comparing Diffusion Models for Graph-Based Semi-Supervised Learning. - Jari Saramäki, Jukka-Pekka Onnela:
Structure and tie strengths in a mobile communication network. - Frank Eichinger, Klemens Böhm, Matthias Huber:
Improved Software Fault Detection with Graph Mining.
Session 4
- Hannu Toivonen:
Invited speaker: Biomine search engine for probabilistic graphs. MLG@ICML 2008 - Bernd Gutmann, Angelika Kimmig, Luc De Raedt, Kristian Kersting:
Parameter Learning in Probabilistic Databases: A Least Squares Approach. - Janne Sinkkonen, Janne Aukia, Samuel Kaski:
Infinite mixtures for multi-relational categorical data. - Marco Lippi, Paolo Frasconi:
Markov Logic Improves Protein β-Partners Prediction. - Matthew B. Blaschko, Arthur Gretton:
A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery.
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